Data Analyst / Referent Im Datenmanagement Energiewirtschaft (f/m/d)

Essen, Nordrhein-Westfalen, Germany

Job Description

\n The department acts as the central hub for driving an insight driven business. It develops insight excellence across regions, elevates the role of insights and embeds it in the decision process by supporting all development stages (from identification to delivery) of new solutions, generating new cross-regional insights and leveraging local insights. The department owns the central NPS and brand performance measurement and reporting cascade. It strongly interacts with all other business functions, innovation, solution management and the insight and CX functions in all regions.

Responsibilities
  • You create and maintain optimal data pipeline architecture with in the Azure Data platform
  • You assemble, process and organize complex data sets that serve improved business decisions using technologies in Azure Data platform
  • You collaborate with researchers, data analyst and CX professionals and prepare data for reporting, modelling
  • You visualize and analyse data using PowerBI
  • You identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • You drive innovation with special focus on automation, process optimization, cloud security
  • You actively promote knowledge exchange in the wider Customer Insights community
Qualifications
  • Strong technical capabilities around technologies such as: Azure Data Factory, Azure Data Bricks, Azure Machine Learning, Azure Functions, Snowflake, PowerBI
  • Basic technical capabilities around technologies such as: Azure Kubernetes Cluster, Docker, build and release pipelines (CI/CD)
  • Enthusiastic about new technologies and entrepreneurial in running technical pilots
  • Experienced in solution design
  • Knowledge about Azure cloud security and identity management
  • Data engineering certification in Azure is a plus
  • Good knowledge on R and Python
  • Ability to work both independently and within a team in combination with excellent communication skills
  • Fluent in English
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Job Detail

  • Job Id
    JD3104932
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Essen, Nordrhein-Westfalen, Germany
  • Education
    Not mentioned